{"id":"W7082995609","doi":"10.5281/zenodo.17184465","title":"Herbal Cosmeceuticals and Personalized Wellness; Innovations in Pharmaceutical and Biotechnological Approach","year":2025,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cosmeceuticals; Gratitude; Profiling (computer programming); Due diligence; Human use; Magic bullet; Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004524385,0.0006233432,0.0004369238,0.001200427,0.0007463674,0.003398653,0.0005182961,0.001014206,0.02623909],"category_scores_gemma":[0.001206626,0.0002693358,0.0004245198,0.00114377,0.001286538,0.002427048,0.0009975372,0.003262891,0.01091287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158037,"about_ca_system_score_gemma":0.00100886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048771,"about_ca_topic_score_gemma":0.00269163,"domain_scores_codex":[0.9996821,0.00005240534,0.00001420828,0.00004000098,0.000199066,0.0000123696],"domain_scores_gemma":[0.9994859,0.0002888819,0.00002901482,0.00003386813,0.0001094408,0.0000527712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004337325,0.00006660851,0.0001143638,0.0007788977,0.000008723756,0.0001093665,0.0004976542,0.000465821,0.001183847,0.07380304,0.6690737,0.2538546],"study_design_scores_gemma":[0.000002090165,0.00001284421,0.0001294882,0.0002201991,0.000002148713,0.0001670841,0.00005612778,0.0001374705,0.0001148513,0.007182537,0.9919704,0.000004662865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002094877,0.2182361,0.02013218,0.02861412,0.02881337,0.0002468912,0.0005532739,0.000794749,0.7005144],"genre_scores_gemma":[0.00879331,0.07995188,0.01596035,0.01155664,0.006590996,0.0001340899,0.000319154,0.0004012006,0.8762923],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02623909,"threshold_uncertainty_score":0.08777851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296295382902753,"score_gpt":0.3906822408937649,"score_spread":0.2610527026034896,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}